This job is no longer available
There are still lots of open positions. Let's find the one that's right for you.
Morgan Stanley Services Group, Inc seeks an Associate, Data & Analytics Engineering in New York, New York. The role involves developing risk models including linear/logistic regressions, monte carlo simulations, present value calculations and other portfolio metric computations. You will collaborate with Quant strategists to model and develop mathematical risk calculations and predictions. The position requires curating large datasets, including account, demographic, transactional and market data for analysis, model training, and model inference. You will design and implement cloud computing frameworks to address the growing computational demands of larger models with increased parameters and data. Additionally, you will maintain critical model infrastructure, including Symphony compute grids, distributed hash tables, and low latency caching tools. The role also includes performing unit testing, component testing, integration testing to ensure high quality software is delivered, monitoring applications, and providing support in production. You will develop automated CI/CD processes for delivering quality software into production and work in an agile scrum team, contributing to agile processes.
